{"uid":"cap_tF9RnYzFVDOh0Csb3Xm4G","slug":"numora-outlier-detection-endpoint-a31f50d3","name":"Numora Outlier Detection Endpoint","description":"100 pure math computation endpoints for AI agents. Statistics, financial math, linear algebra, equation solving, calculus, number theory, sequence generation, and unit conversions. Zero external dependencies. x402 micropayments on Base.","url":"https://numorapoi.orbonomy.xyz/api/statistics/outlier","method":"POST","headers":{},"bodySchema":{"type":"object","required":["data"],"properties":{"data":{"type":"array"},"method":{"enum":["iqr","zscore"],"type":"string"}}},"responseSchema":{"type":"object","required":["success","result","computation"],"properties":{"result":{"type":"object","description":"Computation result varies by endpoint"},"success":{"type":"boolean","description":"Always true on success"},"computation":{"type":"string","description":"Human-readable description of what was computed"}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.1","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.03/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.03","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.03","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_8XRvRNt50tF_y0ULc0QsX","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.03","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Identifies statistical outliers in a numeric dataset using configurable detection methods","exampleAgentPrompt":"Find the statistical outliers in this dataset: [2, 3, 2.5, 100, 3.1, 2.8, 99, 2.9, 3.2] — use the IQR method.","exampleUseCases":null,"resultDescription":"Returns a JSON object with a success flag, a result object containing identified outlier values and/or their indices within the input array, and a human-readable computation string describing what was calculated.","failureModes":["Missing required 'data' field returns validation error","Empty array returns error or no outliers found","Non-numeric values in the data array cause computation failure","Unrecognized method string may default or return an error","Payment failure via x402 returns 402 with payment details"],"whenToPreferThis":"Use this endpoint when you need a pure math, stateless outlier detection computation with no external dependencies, especially in automated agent pipelines that support x402 micropayments. Prefer it over ML-based anomaly detection services when you need lightweight, deterministic statistical outlier identification (IQR, z-score, etc.) on a numeric array.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T00:43:40.392Z","isFirstParty":false}